Zhenliang Ma
Orcid: 0000-0002-2141-0389
According to our database1,
Zhenliang Ma
authored at least 21 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Traffic Signal Phase and Timing Estimation Using Trajectory Data From Radar Vision Integrated Camera.
IEEE Trans. Intell. Transp. Syst., November, 2024
A Reverse Auction-Based Individualized Incentive System for Transit Mobility Management.
IEEE Trans. Intell. Transp. Syst., November, 2024
PedAST-GCN: Fast Pedestrian Crossing Intention Prediction Using Spatial-Temporal Attention Graph Convolution Networks.
IEEE Trans. Intell. Transp. Syst., October, 2024
SA-BiGCN: Bi-Stream Graph Convolution Networks With Spatial Attentions for the Eye Contact Detection in the Wild.
IEEE Trans. Intell. Transp. Syst., February, 2024
2023
An integrated ride-matching and vehicle-rebalancing model for shared mobility on-demand services.
Comput. Oper. Res., November, 2023
User-station attention inference using smart card data: a knowledge graph assisted matrix decomposition model.
Appl. Intell., October, 2023
DeepTrip: A Deep Learning Model for the Individual Next Trip Prediction With Arbitrary Prediction Times.
IEEE Trans. Intell. Transp. Syst., June, 2023
Ex Post Path Choice Estimation for Urban Rail Systems Using Smart Card Data: An Aggregated Time-Space Hypernetwork Approach.
Transp. Sci., March, 2023
An Unsupervised Learning Approach for Robust Denied Boarding Probability Estimation Using Smart Card and Operation Data in Urban Railways.
IEEE Intell. Transp. Syst. Mag., 2023
CoRR, 2023
STMA-GCN_PedCross: Skeleton Based Spatial-Temporal Graph Convolution Networks with Multiple Attentions for Fast Pedestrian Crossing Intention Prediction.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
Proceedings of the 14th International Conference on Ambient Systems, 2023
2022
Deep learning for short-term origin-destination passenger flow prediction under partial observability in urban railway systems.
Neural Comput. Appl., 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2020
CoRR, 2020
CoRR, 2020
IEEE Access, 2020
Multi-Agent Reinforcement Learning for Traffic Signal Control: Algorithms and Robustness Analysis.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Proceedings of the 11th International Conference on Ambient Systems, 2020